sum rate optimization for coordinated multi-antenna base station systems
DESCRIPTION
The full paper has been published in ICC 2011TRANSCRIPT
12-Jun-14 1 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Sum Rate Optimization for Coordinated Multi-antenna
Base Station Systems Authors: Tadilo Endeshaw Bogale, e-mail: [email protected] Luc Vandendorpe, e-mail: [email protected]
Presentation Outline
Coordinated BS System model
Problem of interest
Proposed iterative solutions
Simulation results
Conclusions
12-Jun-14 2 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
12-Jun-14 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan) 3
Multiuser Coordinated BS System model
Problem formulation
12-Jun-14 4 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Existing work: Solve this problem with a total BSs sum power constraint case (using uplink-downlink duality approach).
In this work: We solve this problem for an arbitrary power constraint (for example per BS-antenna power cons).
Proposed iterative solution
12-Jun-14 5 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Difficulty: The objective function is non-linear and non-
convex. Hence, the optimal/suboptimal solution is not trivial.
Technique: To linearlize the objective function so that the suboptimal solution can be obtained iteratively. To this end, by introducing new optimization variables, we reformulate the aforementioned problem to
12-Jun-14 6 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
The key idea of this reformulation is to exploit
This fact can be verified using KKT optimality conditions.
Again, by employing the ideas of matrix fractional
minimization and the above technique for K=2 case, we reformulate the above problem as
Proposed iterative solution cont’d
12-Jun-14 7 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Proposed iterative solution cont’d
12-Jun-14 8 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Extension to other problems
Simulation results
12-Jun-14 9 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Simulation results cont’d
12-Jun-14 10 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Conclusions In this work, novel linear iterative algorithm is
proposed to solve sum rate maximization with arbitrary power constraint problem.
The proposed algorithm first reformulate the problem using our lemma and modified matrix fractional minimization approaches.
Then, the resulting problem is solved using phase rotation and GP approaches. For the total BS power constraint case, simulation results verify that the proposed algorithm achieves the same sum rate as that of the well known uplink-downlink MSE duality based approach.
We also show that our algorithm are able to solve the weighted sum MSE minimization problem with arbitrary power constraint.
12-Jun-14 11 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
12-Jun-14 12 Tadilo Endeshaw, Université Catholique de Louvain, Belgium (ICC 2011, Kyoto, Japan)
Thank You